AIMC Topic: Biofuels
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Machine learning for surrogate process models of bioproduction pathways.
Bioresource technology
Dec 24, 2022
Technoeconomic analysis and life-cycle assessment are critical to guiding and prioritizing bench-scale experiments and to evaluating economic and environmental performance of biofuel or biochemical production processes at scale. Traditionally, commer...
Applications of artificial intelligence in anaerobic co-digestion: Recent advances and prospects.
Bioresource technology
Dec 17, 2022
Anaerobic co-digestion (AcoD) offers several merits such as better digestibility and process stability while enhancing methane yield due to synergistic effects. Operation of an efficient AcoD system, however, requires full comprehension of important ...
Machine learning and circular bioeconomy: Building new resource efficiency from diverse waste streams.
Bioresource technology
Dec 5, 2022
Biorefinery systems are playing pivotal roles in the technological support of resource efficiency for circular bioeconomy. Meanwhile, artificial intelligence presents great potential in handling scientific tasks of high-dimensional complexity. This r...
Plant-scale biogas production prediction based on multiple hybrid machine learning technique.
Bioresource technology
Sep 6, 2022
The parameters from full-scale biogas plants are highly nonlinear and imbalanced, resulting in low prediction accuracy when using traditional machine learning algorithms. In this study, a hybrid extreme learning machine (ELM) model was proposed to im...
Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production.
Chemosphere
Aug 14, 2022
The growth and implementation of biofuels and bioenergy conversion technologies play an important part in the production of sustainable and renewable energy resources in the upcoming years. Recycling sources from waste could efficiently ease the risk...
Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity.
Nature communications
Jan 27, 2022
Algal biofuel is regarded as one of the ultimate solutions for renewable energy, but its commercialization is hindered by growth limitations caused by mutual shading and high harvest costs. We overcome these challenges by advancing machine learning t...
Smart sustainable biorefineries for lignocellulosic biomass.
Bioresource technology
Oct 30, 2021
Lignocellulosic biomass (LCB) is considered as a sustainable feedstock for a biorefinery to generate biofuels and other bio-chemicals. However, commercialization is one of the challenges that limits cost-effective operation of conventional LCB bioref...
Recent advances of thermochemical conversion processes for biorefinery.
Bioresource technology
Oct 9, 2021
Lignocellulosic biomass is one of the most promising renewable resources and can replace fossil fuels via various biorefinery processes. Through this study, we addressed and analyzed recent advances in the thermochemical conversion of various lignoce...
Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models.
Water research
Sep 24, 2021
Interest in anaerobic co-digestion (AcoD) has increased significantly in recent decades owing to enhanced biogas productivity due to the utilization of different organic wastes, such as food waste and sewage sludge. In this study, a robust AcoD model...
On the Prediction of Biogas Production from Vegetables, Fruits, and Food Wastes by ANFIS- and LSSVM-Based Models.
BioMed research international
Sep 24, 2021
This study is aimed at modeling biodigestion systems as a function of the most influencing parameters to generate two robust algorithms on the basis of the machine learning algorithms, including adaptive network-based fuzzy inference system (ANFIS) a...
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